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JPMorgan Lead AI/ML Engineer 
India, Karnataka, Bengaluru 
547608787

29.01.2025

As a
Lead AI/ML Engineer, you will play a pivotal role in designing, developing, and deploying advanced AI solutions. You will work closely with cross-functional teams to create product-driven AI applications, focusing on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques. Your expertise in Python development and familiarity with state-of-the-art AI technologies will be crucial in driving our projects forward.

This role is in our Bangalore, India technology center.

Job responsibilities

  • Lead the design and implementation of AI/ML models, with a focus on natural language processing, information extraction, information retrieval, large language models, and both supervised and unsupervised machine learning techniques.
  • Develop and maintain production-ready code, ensuring high quality through unit testing and code reviews.
  • Collaborate with product managers and stakeholders to align AI solutions with business objectives and product goals.
  • Stay abreast of the latest advancements in AI/ML technologies, including large language models and machine learning techniques, and integrate relevant innovations into our projects.
  • Benchmark AI systems, including large language models, to ensure optimal performance and scalability.
  • Mentor and guide junior engineers, fostering a collaborative and inclusive team environment.
  • Drive the AI development lifecycle from ideation to deployment, ensuring timely and successful project delivery.

Position requirements:

  • 9+ years of data scientist experience.
  • Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
  • Proven experience in AI/ML engineering, with a strong focus on Python development.
  • In-depth knowledge of natural language processing, large language models, supervised and unsupervised machine learning, and the AI development lifecycle.
  • Demonstrated ability to write clean, efficient, and production-ready code.
  • Experience with unit testing in Python and familiarity with AI benchmarking techniques.
  • Entrepreneurial mindset with a product-driven approach to AI development.
  • Strong problem-solving skills and the ability to work independently and collaboratively.
  • Excellent communication skills, with the ability to convey complex technical concepts to non-technical stakeholders.

Preferred qualifications, capabilities, and skills

  • Familiarity with cloud platforms
  • Experience in AI monitoring tools and methodologies